Research Explorer

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Researcher

Tom Lefebvre

Publications & Research Data

Awards & Distinctions

66 Results

2025

A cascaded MPC framework for airborne wind energy systems

Omid HeydarniaJolan WautersTom LefebvreGuillaume Crevecoeur

A new strategy for incorporating Gaussian process dynamic models into stochastic dynamic programming

Mohammad Mahmoudi FilabadiTom LefebvreGuillaume Crevecoeur

Accelerating nonlinear model predictive control through optimal control problem reformulations

Thomas NeveGuillaume CrevecoeurTom Lefebvre

Addressing the reality gap of model-based UAS development through reliable concurrent conceptual and control design

Jolan WautersTom LefebvreGuillaume Crevecoeur

Automated human-in-the-loop commissioning of industrial processes : a glue dispensing case study

Jeroen TaetsJeroen JordensTom LefebvreFrederik OstynGuillaume Crevecoeur

A1 Journal Article in INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Concurrent optimal control and design of an airborne wind energy system

Jolan WautersOmid HeydarniaTom LefebvreGuillaume Crevecoeur

Energy-based exploration for reinforcement learning of underactuated mechanical systems

Jeroen TaetsTom LefebvreFrederik OstynGuillaume Crevecoeur

A1 Journal Article in IEEE ACCESS

Fast nonlinear model predictive control combining online trajectory optimization and value function regression

Thomas NeveTom LefebvreGuillaume Crevecoeur

A1 Journal Article in OPTIMAL CONTROL APPLICATIONS & METHODS

Introducing DAIMYO : a dynamic design architecture and its application to unmanned aerial system development

Jolan WautersTom LefebvreJoris DegrooteIvo CouckuytGuillaume Crevecoeur

A1 Journal Article in JOURNAL OF AIRCRAFT

Introducing KUGE : a simultaneous control co-design architecture and its application to aerial robotics development

Jolan WautersTom LefebvreGuillaume Crevecoeur

Leveraging Bayesian optimization for the  automatic tuning of loss-in-weight feeding

András RetzlerRuben WaeytensBram BekaertTom LefebvreGuillaume Crevecoeur

Leveraging Bayesian optimization for the  automatic tuning of loss-in-weight feeding

András RetzlerRuben WaeytensBram BekaertTom LefebvreGuillaume Crevecoeur

Leveraging human strategy in Bayesian optimization for industrial commissioning

András RetzlerTom LefebvreGuillaume Crevecoeur

Nonlinear model predictive control with value function regression : a tessellation‐based sampling approach

Thomas NeveTom LefebvreGuillaume Crevecoeur

A1 Journal Article in OPTIMAL CONTROL APPLICATIONS & METHODS

On temporal decomposition for parallel solution of equality constrained optimal control problems

Tom LefebvreVictor Vantilborgh

A1 Journal Article in OPTIMAL CONTROL APPLICATIONS & METHODS

Opti-MegAWES : a toolbox for optimal path planning of megawatt-scale airborne wind energy systems

Omid HeydarniaJolan WautersTom LefebvreGuillaume Crevecoeur

Optimal path planning of airborne wind energy systems with a flexible tether

Omid HeydarniaJolan WautersTom LefebvreGuillaume Crevecoeur

A1 Journal Article in JOURNAL OF GUIDANCE CONTROL AND DYNAMICS

Probabilistic state–space modeling for robust condition monitoring of industrial equipment

Victor VantilborghTom LefebvreGuillaume Crevecoeur

A1 Journal Article in JOURNAL OF MANUFACTURING SYSTEMS

Virtual sensing of wind turbine loads with multi‐hidden markov models for above‐rated wind speeds

Ahmed HassanVictor VantilborghNezmin KayedpourTom LefebvreAnnelies CoeneGuillaume Crevecoeur

A1 Journal Article in WIND ENERGY

2024

A probabilistic treatment of (PO)MDPs with multiplicative reward structure

Adaptive risk-sensitive optimal control with dual features through active inference

Mohammad Mahmoudi FilabadiTom LefebvreGuillaume Crevecoeur

Data-driven virtual sensing for probabilistic condition monitoring of solenoid valves

Victor VantilborghTom LefebvreKerem EryilmazGuillaume Crevecoeur

A1 Journal Article in IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING

Dynamic feedback linearization of flying wings with real-time Newton-Raphson iterations

Tom LefebvreJolan WautersGuillaume Crevecoeur

Leveraging human strategy in Bayesian optimization for industrial commissioning

András RetzlerTom LefebvreGuillaume Crevecoeur

Leveraging human strategy in Bayesian optimization for industrial commissioning

András RetzlerTom LefebvreGuillaume Crevecoeur

Probabilistic control and majorisation of optimal control

A1 Journal Article in SYSTEMS & CONTROL LETTERS

Probabilistic majorization of partially observable markov decision processes

Reactive planning MPC of pusher-sliders with obstacle avoidance and imposed velocity profiles

Sander De WitteThomas NeveTom LefebvreGuillaume Crevecoeur

Trajectory planning of slider-pushers in cluttered environments with automatic switching

Thomas NeveSander De WitteTom LefebvreGuillaume Crevecoeur

2023

A posteriori control densities : imitation learning from partial observations

Tom LefebvreGuillaume Crevecoeur

A1 Journal Article in PATTERN RECOGNITION LETTERS

A supervisory learning control framework for autonomous & real-time task planning for an underactuated cooperative robotic task

Sander De WitteTom LefebvreThijs Van HauwermeirenGuillaume Crevecoeur

Bringing reinforcement learning to real-world mechatronic systems : a hybrid learning control approach

Tom StaessensGuillaume CrevecoeurTom Lefebvre

Data-driven identification of stochastic system dynamics under partial observability using physics-based model priors with application to acrobot

Victor VantilborghTom LefebvreGuillaume Crevecoeur

Differential flatness of slider-pusher systems for constrained time optimal collision free path planning

Tom LefebvreSander De WitteThomas NeveGuillaume Crevecoeur

A1 Journal Article in JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME

Flatness-based MPC using B-splines transcription with application to a Pusher-Slider System

Thomas NeveTom LefebvreSander De WitteGuillaume Crevecoeur

Multi-objective co-design for mission-specific development of unmanned aerial systems

Jolan WautersTom LefebvreGuillaume Crevecoeur

Optimizing cascaded control of mechatronic systems through constrained residual reinforcement learning

Tom StaessensTom LefebvreGuillaume Crevecoeur

A1 Journal Article in MACHINES

Towards task tailored articulated robot designs

Tom LefebvreJolan WautersFrederik OstynGuillaume Crevecoeur

2022

A radial basis function-based optimization algorithm with regular simplex set geometry in ellipsoidal trust-regions

Tom LefebvreFrederik De BelieGuillaume Crevecoeur

A1 Journal Article in MATHEMATICAL PROBLEMS IN ENGINEERING

Adaptive control of a mechatronic system using constrained residual reinforcement learning

Tom StaessensTom LefebvreGuillaume Crevecoeur

A1 Journal Article in IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Comparative study of co-design strategies for mission-specific design of quadcopters using differential flatness and Bayesian optimization

Jolan WautersTom LefebvreGuillaume Crevecoeur

Comparative study of sample based model predictive control with application to autonomous racing

Thomas NeveTom LefebvreGuillaume Crevecoeur

Efficient ODE substructure identification of the acrobot under partial observability using neural networks and direct multiple shooting

Victor VantilborghTom LefebvreGuillaume Crevecoeur

Entropy regularised deterministic optimal control : from path integral solution to sample-based trajectory optimisation

Tom LefebvreGuillaume Crevecoeur

Information-theoretic policy learning from partial observations with fully informed decision makers

A1 Journal Article in PATTERN RECOGNITION LETTERS

Learning to cooperate : a hierarchical cooperative dual arm approach for underactuated pick-and-placing

Sander De WitteThijs Van HauwermeirenTom LefebvreGuillaume Crevecoeur

Learning to cooperate : a hierarchical cooperative dual robot arm approach for underactuated pick-and-placing

Sander De WitteThijs Van HauwermeirenTom LefebvreGuillaume Crevecoeur

A1 Journal Article in IEEE-ASME TRANSACTIONS ON MECHATRONICS

Towards Bayesian co-design for mission specific design of dynamical systems

Jolan WautersTom LefebvreGuillaume Crevecoeur

2021

On moment estimation from polynomial chaos expansion models

A2 Journal Article in IEEE CONTROL SYSTEMS LETTERS

Overload clutch design for collision tolerant high-speed industrial robots

Frederik OstynTom LefebvreBram VanderborghtGuillaume Crevecoeur

Overload clutch design for collision tolerant high–speed industrial robots

Frederik OstynTom LefebvreBram VanderborghtGuillaume Crevecoeur

A1 Journal Article in IEEE ROBOTICS AND AUTOMATION LETTERS

2020

A framework for robust quadratic optimal control with parametric dynamic model uncertainty using polynomial chaos

Tom LefebvreFrederik De BelieGuillaume Crevecoeur

A1 Journal Article in OPTIMAL CONTROL APPLICATIONS & METHODS

Inverse parametric uncertainty identification using polynomial chaos and high-order moment matching benchmarked on a wet friction clutch

Wannes De GrooteTom LefebvreGeorges TodNele De GeeterBruno DepraetereSuzanne Van PoppelGuillaume Crevecoeur

A1 Journal Article in MECHATRONICS

On entropy regularized Path Integral Control for trajectory optimization

Tom LefebvreGuillaume Crevecoeur

A1 Journal Article in ENTROPY

Towards accelerated robotic deployment by supervised learning of latent space observer and policy from simulated experiments with expert policies

Olivier AlgoetTom LefebvreGuillaume Crevecoeur

2019

Adaptive approximate dynamic optimization : a slider-crank case study

Tom LefebvreFrederik De BelieFrank NaetsGuillaume Crevecoeur

Approximate numerical solution strategies for dynamic optimization and optimal control problems

Tom LefebvreGuillaume CrevecoeurFrederik De Belie

Inverse stochastic quadcopter trajectory generation using flat inverse dynamics and polynomial chaos uncertainty propagation

Tom LefebvreFrederik De BelieGuillaume Crevecoeur

Parametric uncertainty quantification using polynomial chaos expansions applied to a wet friction clutch model

Georges TodWannes De GrooteTom LefebvreNele De GeeterBruno DepraetereGuillaume Crevecoeur

A2 Journal Article in INTERNATIONAL JOURNAL OF MODELING AND OPTIMIZATION

Path integral policy improvement with differential dynamic programming

Tom LefebvreGuillaume Crevecoeur

2018

A trajectory-based sampling strategy for sequentially refined metamodel management of metamodel-based dynamic optimization in mechatronics

Tom LefebvreFrederik De BelieGuillaume Crevecoeur

A1 Journal Article in OPTIMAL CONTROL APPLICATIONS & METHODS

Model-based feedforward targeting of magnetic microparticles in fluids using dynamic optimization

Rikkert Van DurmeAnnelies CoeneTom LefebvreLuc DupréGuillaume Crevecoeur

Polynomial chaos reformulation in nonlinear stochastic optimal control with application on a drivetrain subject to bifurcation phenomena

Tom LefebvreFrederik De BelieGuillaume Crevecoeur

2017

Polynomial chaos explicit solution of the optimal control problem in model predictive control

Tom LefebvreFrederik De BelieGuillaume Crevecoeur

Towards Accelerated Optimal Control with Black-Box System Simulators using an Adaptive Surrogate Model Refinement Trust Region Management Framework

Tom LefebvreFrederik De BelieGuillaume Crevecoeur

2016

Optimizing state trajectories using surrogate models with application on a mechatronic example

Tom LefebvreFrederik De BelieGuillaume Crevecoeur